Jupyter-JSC
The Jupyter-JSC can be reached here and is provided by Juelich Supercomputing Centre.
Short Facts
- Service URL
- Target group
-
HPC users of JSC. Helmholtz users in general
- Login process
-
Login via JSC account or Helmholtz AAI
- Support
- Documentation
-
https://docs.jupyter-jsc.fz-juelich.de
Features
Jupyter-JSC offers:
-
Version(s): JupyterHub 2.3.1; JupyterLab 2.6,3.2,3.3,3.4
-
Temporarly install new packages by the user
-
Persistent storage
-
Start on multiple (external) systems possible (including HPC). Resources depend highly on system
-
2FA authentication available
-
WebDAV connection possible
Programming Languages:
-
Bash
-
Cling
-
JavaScript
-
Julia
-
Octave
-
R
-
Ruby
Environments:
-
PyDeepLearning
-
PyQuantum
-
PyVisualization
-
Custom
-
Bokeh
-
JupyterLab Preview
-
JupyterLab Manager
-
JupyterLab Sidecar
-
JupyterLab Git
-
JupyterLab server proxy
-
JupyterLab toc
-
JupyterLab lsp
-
JupyterLab quickopen
-
JupyterLab pyviz
-
JupyterLab Code Formatter
-
BQPlot
-
Dask Labextension
-
IPyVolume
-
ITKWidgets
-
Leaflet
-
Matplotlib
-
ThreeJS
-
Vue
-
Vuetify
-
JuypterLab Control
-
JupyterLab Dash
-
JupyterLab Datawidgets
-
JupyterLab GitLab
-
JupyterLab Lmod
-
JupyterLab plotly
-
JupyterLab System Monitor
-
JupyterLAb Theme Toggle
-
JupyterLab topbar extension
-
JupyterLab iframe
-
nbdime
-
plotlywidget
-
pvlink
-
Jupyter Slurm Provisioner
-
NVDashboard
- XPra
Resources
Jupyter-JSC provides Jupyter servers within the following resource limits:
| Resource | Default | Maximum |
|---|---|---|
| Number of Jupyter servers per user | 1 | 100 |
| Number of CPUs | 2 | 1024 |
| CPU time | 30 min | 24 h |
| Amount of memory | 96 GB | 768 GB |
| Number of GPUs | 0 | 4 |
| Disk space | 10 GB | None |
| Persistent disk space | None | None |
Technicals
Some technical insights about Jupyter-JSC:
- SSL encryption between JupyterLab and JupyterHub